Speech Recognition Engineer

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Company: DabKick

Location: San Jose, CA 95123

Description:

Company Description

A Cupertino Silicon Valley technology startup, with an ownership group track record of success (previous startup was sold to a tech giant), is looking for a Speech Recognition Engineer to assist in the development of their media application and tool. Opportunity to make an impactful contribution to a small team of experts who are developing Technology never done before. The app is already launched and available on multiple platforms with solid reviews. There is active interest and site visits from Fortune 25 Tech companies.

Job Description

Are you an A player looking for your next big role? Do you have the appetite for a start up? Do you have the passion and drive in working on complex projects within a fast-paced startup environment? Would you welcome the opportunity to be one of the first 10 on the core development team? If yes, then DabKick is looking to speak with you!

As a Speech Recognition Engineer , you will be responsible for consumer product design for our Advanced Products and Technologies. In this role, you will be involved in modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. To be successful, you need to be highly motivated and detailed oriented while showing highest standards of responsibilities. We are looking for candidates who strive in a fast paced start-up like environment.

Qualifications

  • Familiarity with programming languages such as C/C++, Python, Java or Perl.
  • Experience in building speech recognition and natural language processing systems (e.g., commercial speech products or government speech projects)
  • Solid Machine Learning background and familiar with standard speech and machine learning techniques.
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
  • Solid software development experience
  • Good written and spoken communication skills.
    Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning
    Understanding of high speed design and noise suppression techniques
    Hands on experience with signal integrity tools
    Experience in designing products for wireless networks (GSM, UMTS, LTE), GPS, WiFi and Bluetooth wireless systems
    Strong communication and documentation skills including skills to manage without authorit
    Solid Machine Learning background and familiar with standard speech and machine learning techniques.
    Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field


Additional Information

All your information will be kept confidential according to EEO guidelines.

*We are unable to sponsor or relocate at this time

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